An algorithm for reducing the effect of compression/decompression techniques on fmgerprint minutiae

Author

Deriche, M.

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

fYear

2001

fDate

18-21 Nov. 2001

Firstpage

243

Lastpage

246

Abstract

We show in this paper that the wavelet transform is an effective technique for significantly compressing fingerprint images, while retaining the necessary structural details for accurate identification. The paper presents a new algorithm for extracting the fundamental identification features for use in automated fingerprint matching systems. Contrary to existing algorithms, the method presented here is tested on compressed/decompressed fingerprint images. We show that using the compression algorithm proposed earlier by the author, we are able to obtain a valid description of the fingerprints at compression ratios down to 50:1.

Keywords

data compression; feature extraction; fingerprint identification; image coding; wavelet transforms; automated fingerprint matching systems; compression techniques; decompression techniques; fingerprint images compression; fingerprint minutiae; fundamental identification features; wavelet transform; Data mining; Feature extraction; Fingerprint recognition; Image coding; Image matching; Image storage; Matched filters; Robustness; Signal processing algorithms; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001

Print_ISBN

1-74052-061-0

Type

conf

DOI

10.1109/ANZIIS.2001.974084

Filename

974084